The server defines 3 tools with action-verb names (get_*, expand_and_collect) and reasonable high-level descriptions. However, parameter schemas lack critical detail: parameter types are all declared as 'string' (hours_back, depth) when they should be 'number' or 'integer'; no enum constraints on channel names or depth limits; parameter descriptions are minimal and lack format guidance (e.g., 'hours_back' says 'Number of hours' but doesn't specify range, units, or default behavior). Output schemas are entirely undocumented, callers have no visibility into what fields ChannelMsg and SimilarChannel return, making it impossible for LLMs to plan downstream calls or extract relevant data. Error handling is absent from tool definitions. The tool 'expand_and_collect' conflates two responsibilities (expand + collect), violating single-concern principle. Parameter descriptions fail to mention that hours_back and depth accept numeric string input, creating ambiguity for LLMs. No validation rules documented (e.g., depth max 2, hours_back range). Overall, definitions are baseline functional but lack the rigor needed for reliable agent use.

• Declare hours_back and depth as type 'integer' with min/max constraints in the schema. E.g., hours_back: {type: 'integer', minimum: 1, maximum: 365, description: 'Number of hours to look back (1-365). Default: 24'}.
• Add explicit output schema documentation to each tool. Show example ChannelMsg and SimilarChannel JSON structures with field descriptions and types. Enables LLM to predict and use return data.
• Split expand_and_collect into two tools: 'expand_channels' (takes seed channels, returns similar channels list) and 'collect_messages' (takes channel list, returns messages). Each has single concern and can be composed independently.
• Add enum or pattern constraint for channels parameter. Document that @ prefix is optional, URLs are accepted, and values are comma-separated. Validate input format early with clear error messages.
• Expand parameter descriptions with concrete constraints and examples: 'hours_back: Look back N hours (1-365, default 24). E.g., 24 for last day, 168 for last week. Invalid values return an error.' 'depth: Similarity search depth (1-2, default 2). Depth 1 finds direct recommendations; depth 2 expands one more layer.'
• Add error handling guidance to tool descriptions. E.g., 'If a channel is not found, returns empty results for that channel. If rate-limited, returns HTTP 429 with retry-after header, the agent should wait and retry.'
• Implement pagination: add optional limit and offset parameters (limit: 1-100, default 20) to get_messages and get_similar_channels. Return total_count and next_offset to enable multi-page traversal. Cap results at 50 items per page.

Inferred effective spec: <=2025-11-25.

• Relies on Logging (deprecated) - log to stderr or use OpenTelemetry